图 书 馆
基于异常检测和转移学习的运动视频自动标注框架A framework for automatic sports video annotation with anomaly detection and transfer learning |
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| 课程网址: | http://videolectures.net/machine_de_campos_video_annotation/ |
| 主讲教师: | Teofilo De Campos |
| 开课单位: | 萨里大学 |
| 开课时间: | 2013-08-06 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper describes a system that can automatically annotate videos and illustrates its application to tennis games. A unified apparatus is proposed, cast in a Bayesian reasoning framework. This is supported by a cognitive memory architecture that allows the system to store raw video data at the lowest cognitive level and its semantic annotation with increasing levels of abstraction up to determining the score of a game. Also embedded in the system is a set of mechanisms to detect anomalies caused by a change of domain in the input data. Once an anomaly is detected, transfer learning methods are triggered to adapt the knowledge to new domains, such as new sport modalities. We also present a generic framework for rule induction that is crucial in the context of an adaptive annotation system. |
| 关 键 词: | 注释视频; 网球游戏; 贝叶斯推理 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-15：cwx |
| 阅读次数: | 64 |